General Information:

Dr. Pang-Ning Tan is an Associate Professor in the Department of Computer Science
and Engineering at MSU. He received his M.S degree in Physics and Ph.D. degree in
Computer Science from University of Minnesota.
His research interests span a broad range of data mining problems, from pattern
discovery (association analysis, anomaly detection, and cluster analysis) to
predictive modeling. In addition to addressing fundamental problems in data
mining, he is also interested in applying data mining techniques to various
application domains including climate and Earth sciences, social and information
networks, botnet and webspam detection, and medical informatics. He has published
more than 100 peer-reviewed papers in journals, conferences, and workshop
proceedings. His research has been supported by the National Science Foundation,
Office of Naval Research, Army Research Office, National Aeronautics and Space
Administration, National Oceanic and Atmospheric Administration, National
Institutes of Health, and Michigan State University.